Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th Edition)
Socially augmenting employee profiles with people-tagging
Proceedings of the 20th annual ACM symposium on User interface software and technology
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
Short and tweet: experiments on recommending content from information streams
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
A survey of recommender systems in twitter
SocInfo'12 Proceedings of the 4th international conference on Social Informatics
Early and Late Fusion Methods for the Automatic Creation of Twitter Lists
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Discovering social circles in ego networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
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Micro-blogging is yet another dynamic information channel where the user needs assistance to manage incoming and outgoing information streams. In this paper, we present our Twitter assistant called Tadvise that aims to help users to know their followers / communities better. Tadvise recommends well-connected topic-sensitive followers, who may act as hubs for broadcasting a tweet to a larger relevant audience. Each piece of advice given by Tadvise is supported by declarative explanations. Our evaluation shows that Tadvise helps users to know their followers better and also to find better hubs for propagating communityrelated tweets.